Streaming QSplat: A viewer for networked visualization of large, dense models

S. Rusinkiewicz, M. Levoy

Research output: Contribution to conferencePaperpeer-review

93 Scopus citations

Abstract

Steady growth in the speeds of network links and graphics accelerator cards has brought increasing interest in streaming transmission of three-dimensional data sets. We demonstrate how streaming visualization can be made practical for data sets containing hundreds of millions of samples. Our system is based on QSplat, a multiresolution rendering system for dense polygon meshes that employs a bounding sphere hierarchy data structure and splat rendering. We show how to incorporate view-dependent progressive transmission into QSplat, by having the client request visible portions of the model in order from coarse to fine resolution. In addition, we investigate interaction techniques for improving the effectiveness of streaming data visualization. In particular, we explore color-coding streamed data by resolution, examine the order in which data should be transmitted in order to minimize visual distraction, and propose tools for giving the user fine control over download order.

Original languageEnglish (US)
Pages63-68
Number of pages6
DOIs
StatePublished - 2001
Event2001 Symposium on Interactive 3D Graphics - Research Triangle Park, NC, United States
Duration: Mar 19 2001Mar 21 2001

Other

Other2001 Symposium on Interactive 3D Graphics
CountryUnited States
CityResearch Triangle Park, NC
Period3/19/013/21/01

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

Keywords

  • Level of detail algorithms
  • Progressive transmission
  • Rendering systems
  • Streaming

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